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Complexity
Volume 2017, Article ID 5402896, 10 pages
https://doi.org/10.1155/2017/5402896
Research Article

A Multilayer Model Predictive Control Methodology Applied to a Biomass Supply Chain Operational Level

1Escola de Ciências e Tecnologia, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal
2Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC), Campus da FEUP, 4200-465 Porto, Portugal
3Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Bragança, Campus de Sta. Apolónia, 5300-253 Bragança, Portugal
4Faculty of Engineering, University of Porto, Porto, Portugal

Correspondence should be addressed to Tatiana M. Pinho; tp.datu@panaitat

Received 23 February 2017; Accepted 5 June 2017; Published 11 July 2017

Academic Editor: Petri T. Helo

Copyright © 2017 Tatiana M. Pinho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

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  • José Rafael García-Sánchez, Ramón Silva-Ortigoza, Salvador Tavera-Mosqueda, Celso Márquez-Sánchez, Victor Manuel Hernández-Guzmán, Mayra Antonio-Cruz, Gilberto Silva-Ortigoza, and Hind Taud, “Tracking Control for Mobile Robots Considering the Dynamics of All Their Subsystems: Experimental Implementation,” Complexity, vol. 2017, pp. 1–18, 2017. View at Publisher · View at Google Scholar
  • Tamás Bányai, Béla Illés, and Ágota Bányai, “Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach,” Complexity, vol. 2018, pp. 1–15, 2018. View at Publisher · View at Google Scholar
  • Guolian Hou, Linjuan Gong, Xiaoyan Dai, Mengyi Wang, and Congzhi Huang, “A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit,” Complexity, vol. 2018, pp. 1–18, 2018. View at Publisher · View at Google Scholar